A new DOA estimate algorithm for coherent sources
Junyu Hang · Microcomputer Information · 2007
This paper proposed a new subspace based method to estimate the direction of arrival (DOA). the existence of coherent sources results in the rank deficit of sample covariance matrix. Classic MUSIC(Multiple Signal Classification) can not classify coherent sources, and instead, generate an equivalent sources somewhere between them. In our method, at first, the contribution of the equiva- lent sources is subtracted by the collected data. And then, the method is recursively applied. Simulation experiment show that com- pared to the other method, this method has higher spatial resolution and less estimation error.